Chief Data Architect

1 semana atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataDriven Tempo inteiro R$70.472 - R$141.144
Job Opportunity

We are seeking a skilled Machine Learning Engineer to develop and implement advanced predictive models.

Key Responsibilities:
  • Design, build, and deploy machine learning models using Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Apply time series techniques (ARIMA, SARIMA, Prophet, LSTM/RNNs) to forecast and model temporal data, ensuring accuracy and reliability in results.
  • Develop and manage ML pipelines for training, validation, deployment, and monitoring using tools like MLflow, Kubeflow, or cloud-based ML services.
  • Track performance, detect drift or bias, and iterate on models to improve accuracy and scalability.
  • Collaborate with product managers, data scientists, engineers, and business stakeholders to align ML solutions with real-world needs, driving business growth through data-driven insights.

As a Machine Learning Engineer, you will be responsible for building and maintaining ML solutions that deliver measurable business impact. You will work closely with cross-functional teams to design, develop, and deploy ML models that meet business requirements.

Requirements:
  • Strong experience with machine learning algorithms and deep learning frameworks.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
  • Ability to collaborate with stakeholders to identify business needs and develop effective ML solutions.
  • Strong problem-solving skills and attention to detail.
Benefits:
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

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